Textbooks

Required

Hadley Wickham, Mine Çetinkaya-Rundel, and Garrett Grolemund. (2023). R for Data Science (2e). O’Reilly

This is an open source textbook that can be freely read online at r4ds.hadley.nz/ but can be purchased from Amazon. The textbook was written in quarto and the source code can be found on github. This is the primary textbook for this course and the one that we will follow most closely and comprehensively.

Jennifer Bryan. Happy Git and GitHub for the R User.

This is an open source textbook that can be freely read online at happygitwithr.com/. This short online textbook introduces Git and GitHub to data scientists and statisticians and illustrates how to integrate them with the R ecosystem/toolkit.

Julia Silge and David Robinson. (2017). Text Mining with R. O’Reilly

This is an open source textbook that can be freely read online at www.tidytextmining.com/ but can be purchased from Amazon.

Recommended

Wickham, H. Advanced R. Baca Raton, FL: Taylor & Francis Group.

Most of this book is available freely online at adv-r.had.co.nz but can be purchased from Amazon.